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UID:42@appec.org
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20220912
DTEND;TZID=Europe/Berlin;VALUE=DATE:20220917
DTSTAMP:20220622T113919Z
URL:https://appec.org/events/second-mode-workshop-on-differentiable-progra
 mming-for-experiment-design/
SUMMARY:Second MODE workshop on Differentiable Programming for Experiment D
 esign
DESCRIPTION:The MODE Collaboration is organizing its Second Workshop on Dif
 ferentiable Programming for Experiment Design\, to be held in Kolumbari (C
 rete) from 12 to 16 September 2022: registration and abstract submission a
 re open at https://indico.cern.ch/event/1145124/ . This is the second inst
 allment of a series the MODE Collaboration has started\, with the aim of c
 reating a community of scientists interested in\, and possibly working on\
 , the design of experiments assisted by machine learning techniques to sol
 ve optimization problems in a highly dimensional parameter space\, while m
 aking the optimization process aware of the high-level physics goals and o
 f budgetary constraints of several kinds. Automatic differentiation is a c
 omputer science technique that powers up all modern applications of gradie
 nt-based optimization problems: in the context of MODE\, this allows the c
 onstruction of a fully differentiable pipeline\, to achieve the simultaneo
 us optimization of all design parameters through the use of deep learning 
 techniques.\nThe first installment of the workshop series has led to a whi
 te paper signed by MODE authors together with an extended community of phy
 sicists and computer scientists (https://arxiv.org/abs/2203.13818)\, and h
 as raised the interest of several scientific Collaborations that are facin
 g complex design optimization problems.\nThe second workshop is open to co
 ntributed talks\, and you are welcome to submit an abstract (https://indic
 o.cern.ch/event/1145124/) to show applications of differentiable programmi
 ng to optimization design problems\, or to present optimization design pro
 blems that may require or profit from differentiable programming technique
 s to proceed towards a solution.\nYou are strongly suggested to attend in 
 person: you will be hosted in the conference venue\, promoting the spirit 
 of a scientific retreat where serendipitous conversations may lead to coll
 aborations and scientific breakthroughs\, but online attendance will be al
 so possible.
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